Advanced Science · 2024 · 50 citations · 45 references
Life SciencesCell BiologyNephrologyInflammationRenal PathophysiologyTranscriptomicsAcute Kidney InjuryRenal FibrosisRenal InflammationSingle-cell Rna Sequencing AnalysisSingle-cell TranscriptomicsSpatial Single-cell AnalysisAcute Kidney Injury PathophysiologyMacrophage-mediated Tissue RepairMonocyte-derived MacrophagesResident Tissue MacrophagesSingle-cell Profiling Of MacrophagesSingle-cell Rna SequencingSpatial Transcriptomic HeterogeneitySpatial Transcriptomics Of Macrophages
The transition from acute kidney injury (AKI) to chronic kidney disease (CKD) is a critical clinical issue. Although previous studies have suggested macrophages as a key player in promoting inflammation and fibrosis during this transition, the heterogeneity and dynamic characterization of macrophages are still poorly understood. Here, we used integrated single-cell RNA sequencing and spatial transcriptomic to characterize the spatiotemporal heterogeneity of macrophages in murine AKI-to-CKD model of unilateral ischemia-reperfusion injury. A marked increase in macrophage infiltration at day 1 was followed by a second peak at day 14 post AKI. Spatiotemporal profiling revealed that injured tubules and macrophages co-localized early after AKI, whereas in late chronic stages had spatial proximity to fibroblasts. Further pseudotime analysis revealed two distinct lineages of macrophages in this transition: renal resident macrophages differentiated into the pro-repair subsets, whereas infiltrating monocyte-derived macrophages contributed to chronic inflammation and fibrosis. A novel macrophage subset, extracellular matrix remodeling-associated macrophages (EAMs) originating from monocytes, linked to renal fibrogenesis and communicated with fibroblasts via insulin-like growth factors (IGF) signalling. In sum, our study identified the spatiotemporal dynamics of macrophage heterogeneity with a unique subset of EAMs in AKI-to-CKD transition, which could be a potential therapeutic target for preventing CKD development.
45
Comprehensive Integration of Single-Cell Data
Tim Stuart, Andrew Butler, Paul Hoffman et al. · Cell · 2019 · 16.9K citations · Full text
Inference and analysis of cell-cell communication using CellChat
Suoqin Jin, Christian F. Guerrero‐Juarez, Lihua Zhang et al. · Nature Communications · 2021 · 8.3K citations · Full text
Resolving the fibrotic niche of human liver cirrhosis at single-cell level
Prakash Ramachandran, Ross Dobie, John R. Wilson‐Kanamori et al. · Nature · 2019 · 1.7K citations · Full text
Medicine, Cell Biology, Pathology +16
Lipid-Associated Macrophages Control Metabolic Homeostasis in a Trem2-Dependent Manner
Diego Adhemar Jaitin, Lorenz Adlung, Christoph A. Thaiss et al. · Cell · 2019 · 1.3K citations · Full text